Shiny 1.0.0

New features

• Added a new shiny.ui.Chat class for building conversational interfaces with fully customizable and performant response generation. (#1453)

• Expose shiny.playwright, shiny.run, and shiny.pytest modules that allow users to testing their Shiny apps. (#1448, #1456, #1481)

  • shiny.playwright contains controller and expect submodules. controller will contain many classes to interact with (and verify!) your Shiny app using Playwright. expect contains expectation functions that enhance standard Playwright expectation methods.
  • shiny.run contains the run_shiny_app command and the return type ShinyAppProc. ShinyAppProc can be used to type the Shiny app pytest fixtures.
  • shiny.pytest contains pytest test fixtures. The local_app pytest fixture is automatically available and runs a sibling app.py file. Where as create_app_fixture(PATH_TO_APP) allows for a relative path to a Shiny app to be instantiated from a different folder.

• Added CLI command shiny add test to add a test file to an existing Shiny app. (#1461)

• @render.data_frame, render.DataGrid, and render.DataTable now support polars data frames (#1474).

• @render.data_frame, render.DataGrid, and render.DataTable are now type aware. This means that the data frame renderer object's .data() and .data_view() methods will return the same type of data given the the renderer. E.g. If a DataGrid wrapping a polars data frame is returned to the renderer function, .data_view() will return polars data. (#1502)

• @render.data_frame's render.DataGrid and render.DataTable added support for cell styling with the new styles= parameter. This parameter can receive a style info object (or a list of style info objects), or a function that accepts a data frame and returns a list of style info objects. Each style info object can contain the rows and cols locations where the inline style and/or CSS class should be applied. (#1475)

• @render.data_frame has added a few new methods:

  • .data_view_rows() is a reactive value representing the sorted and filtered row numbers. This value wraps input.<ID>_data_view_rows()(#1374)
  • .sort() is a reactive value representing the sorted column information (dictionaries containing col: int and desc: bool). This value wraps input.<ID>_sort(). (#1374)
  • .filter() is a reactive value representing the filtered column information (dictionaries containing col: int and value which is either a string or a length 2 array of at least one non-None number). This value wraps input.<ID>_filter(). (#1374)
  • .update_sort(sort=) allows app authors to programmatically update the sorting of the data frame. (#1374)
  • .update_filter(filter=) allows app authors to programmatically update the filtering of the data frame. (#1374)

• @render.data_frame now accepts both a non-"none" selection_mode value and editable=True. (#1454, #1534)

• @render.data_frame's <ID>.cell_selection() no longer returns a None value and now always returns a dictionary containing both the rows and cols keys. This is done to achieve more consistent author code when working with cell selection. When the value's type="none", both rows and cols are empty tuples. When type="row", cols represents all column numbers of the data. In the future, when type="col", rows will represent all row numbers of the data. These extra values are not available in input.<ID>_cell_selection() as they are independent of cells being selected and are removed to reduce information being sent to and from the browser. (#1376)

• Relative imports, like from . import utils, now can be used in Shiny Express apps. (#1464)

• ui.Theme allows you to create custom themes for your Shiny app by recompiling Bootstrap and Shiny's Sass files with your own customizations. Themes created with ui.Theme can be passed directly to the theme argument of express.ui.page_opts() (Shiny Express) or ui.page_*() functions (Shiny Core) to apply the theme to the entire app. This feature requires the libsass package which can be installed with pip install libsass. (#1358)

• ui.card_body() can be used to wrap the contents of elements in ui.card(), allowing you to change parameters like fillable or padding and gap for groups of elements in the card. (#1506)

Other changes

• ui.input_action_button() and ui.update_action_button() gain a disabled argument. When the button is disabled, it appears grayed out and cannot be clicked. (#1465)

• The main content area of ui.page_sidebar() and ui.page_navbar() with a page-level sidebar now have a minimum height and width to avoid squashed content in fillable layouts. The minimum height and width are controllable via --bslib-page-main-min-{width,height} CSS variables. (#1436)

• Added a new option to place an always-open sidebar above the main content on mobile screens by providing open={"mobile": "always-above"} to ui.sidebar(). (#1436)

Bug fixes

• Fixed #1440: When a Shiny Express app with a www/ subdirectory was deployed to shinyapps.io or a Connect server, it would not start correctly. (#1442)

• Fixed #1498: Update table related TypeScript dependencies to their latest versions. This fixed an issue where the Row Virtualizer would scroll to the end when hidden. This would cause the DOM to update numerous times, locking up the browser tab for multiple seconds. (#1524, #1550)

• The return type for the data frame patch function now returns a list of render.CellPatch objects (which support htmltools.TagNode for the value attribute). These values will be set inside the data frame's .data_view() result. This also means that .cell_patches() will be a list of render.CellPatch objects. (#1526)

• Made sure all @render.data_frame cells that have been edited are now restored back to ready state to handle the off chance that the returned patches are at different locations the the original edit patches. (#1529)

• remove_all_fill(tag) no longer modifies the original tag input and instead returns a modified copy of tag. (#1538)

Deprecations

• The following deprecated functions have now been removed (#1546):

  • shiny.ui.panel_sidebar() was deprecated in v0.6.0; use shiny.ui.sidebar() instead.
  • shiny.ui.panel_main() was deprecated in v0.6.0; instead pass items directly to shiny.ui.layout_sidebar().
  • shiny.ui.navset_pill_card() was deprecated in v0.6.0; use shiny.ui.navset_card_pill() instead.
  • shiny.ui.navset_tab_card() was deprecated in v0.6.0; use shiny.ui.navset_card_tab() instead.
  • shiny.ui.nav() was deprecated in v0.6.1; use shiny.ui.nav_panel() instead.

• @render.data_frame, render.DataGrid, and render.DataTable have deprecated support for data frame types that are pandas compatible. Please call .to_pandas() on your data before it is returned to the renderer (#1502). Currently, both polars and pandas data frames are supported (#1474). If you'd like to add support for a new data frame type, please open an issue or a pull request.

• @render.data_frame's .cell_selection() will no longer return None when the selection mode is "none". In addition, missing rows or cols information will be populated with appropiate values. This allows for consistent handling of the cell selection object. (#1374)

• @render.data_frame's input value input.<ID>_data_view_indices() has been deprecated. Please use <ID>.data_view_rows() to retrieve the same information. (#1377)

• @render.data_frame's input value input.<ID>_column_sort() has been deprecated. Please use <ID>.sort() to retrieve the same information. (#1374)

• @render.data_frame's input value input.<ID>_column_filter() has been deprecated. Please use <ID>.filter() to retrieve the same information. (#1374)

• Deprecated functions in shiny.experimental have been removed. By and large, these functions are now available in the main shiny namespace. (#1540)

• We've deprecated several card-related shiny.experimental.ui functions that were moved to the main shiny.ui namespace in v0.6.0. Both card() and card_body() are no longer experimental and can be called via shiny.ui.card() and shiny.ui.card_body() directly. shiny.experimental.ui.card_title() is now deprecated, but can be replaced with shiny.ui.tags.h5() or shiny.ui.card_header(). (#1543)